{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Two Class Adaboost"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Adapted from http://scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_twoclass.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This example fits an AdaBoosted decision stump on a non-linearly separable classification dataset composed of two “Gaussian quantiles” clusters (see `sklearn.datasets.make_gaussian_quantiles`) and plots the decision boundary and decision scores. The distributions of decision scores are shown separately for samples of class A and B. The predicted class label for each sample is determined by the sign of the decision score. Samples with decision scores greater than zero are classified as B, and are otherwise classified as A. The magnitude of a decision score determines the degree of likeness with the predicted class label. Additionally, a new dataset could be constructed containing a desired purity of class B, for example, by only selecting samples with a decision score above some value."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "using PyPlot\n",
    "using ScikitLearn\n",
    "using ScikitLearn.Utils: meshgrid\n",
    "\n",
    "@sk_import datasets: make_gaussian_quantiles\n",
    "@sk_import ensemble: AdaBoostClassifier\n",
    "@sk_import tree: DecisionTreeClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "PyPlot.Figure(PyObject <matplotlib.figure.Figure object at 0x324225050>)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "X1, y1 = make_gaussian_quantiles(cov=2.,\n",
    "                                 n_samples=200, n_features=2,\n",
    "                                 n_classes=2, random_state=1)\n",
    "X2, y2 = make_gaussian_quantiles(mean=(3, 3), cov=1.5,\n",
    "                                 n_samples=300, n_features=2,\n",
    "                                 n_classes=2, random_state=1);\n",
    "X = vcat(X1, X2);\n",
    "y = vcat(y1, -y2 + 1);\n",
    "\n",
    "bdt = AdaBoostClassifier(DecisionTreeClassifier(max_depth=1),\n",
    "                                algorithm=\"SAMME\",\n",
    "                                n_estimators=200)\n",
    "fit!(bdt, X, y);\n",
    "\n",
    "# Plot the decision boundaries\n",
    "figure(figsize=(10, 5))\n",
    "\n",
    "subplot(121)\n",
    "\n",
    "plot_colors = \"br\"\n",
    "plot_step = 0.02\n",
    "class_names = \"AB\"\n",
    "\n",
    "x_min, x_max = minimum(X[:, 1]) - 1, maximum(X[:, 1]) + 1\n",
    "y_min, y_max = minimum(X[:, 2]) - 1, maximum(X[:, 2]) + 1\n",
    "xx, yy = meshgrid(x_min:plot_step:x_max, y_min:plot_step:y_max)\n",
    "\n",
    "Z = predict(bdt, hcat(xx[:], yy[:]));\n",
    "\n",
    "Z = reshape(Z, size(xx)...);\n",
    "\n",
    "cs = contourf(xx, yy, Z, cmap=get_cmap(\"Paired\"))\n",
    "plt[:axis](\"tight\")\n",
    "\n",
    "# Plot the training set\n",
    "for (i, n, c) in zip(0:1, class_names, plot_colors)\n",
    "    idx = find(y .== i)\n",
    "    scatter(X[idx, 1], X[idx, 2],\n",
    "            c=string(c), cmap=get_cmap(\"Paired\"),\n",
    "            label=\"Class $n\")\n",
    "end\n",
    "\n",
    "xlim(x_min, x_max)\n",
    "ylim(y_min, y_max)\n",
    "legend(loc=\"upper right\")\n",
    "xlabel(\"x\")\n",
    "ylabel(\"y\")\n",
    "title(\"Decision Boundary\")\n",
    "\n",
    "subplot(122)\n",
    "# Plot the two-class decision scores\n",
    "twoclass_output = decision_function(bdt, X)\n",
    "plot_range = (minimum(twoclass_output), maximum(twoclass_output))\n",
    "subplot(122)\n",
    "for (i, n, c) in zip(0:1, class_names, plot_colors)\n",
    "    plt[:hist](twoclass_output[y .== i],\n",
    "               bins=10,\n",
    "               range=plot_range,\n",
    "               facecolor=string(c),\n",
    "               label=\"Class $n\",\n",
    "               alpha=.5)\n",
    "end\n",
    "\n",
    "x1, x2, y1, y2 = axis()\n",
    "axis((x1, x2, y1, y2 * 1.2))\n",
    "legend(loc=\"upper right\")\n",
    "ylabel(\"Samples\")\n",
    "xlabel(\"Score\")\n",
    "title(\"Decision Scores\")\n",
    "\n",
    "tight_layout()\n",
    "subplots_adjust(wspace=0.35)"
   ]
  }
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